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Record W1492726924 · doi:10.1186/2046-7648-4-s1-a11

Aerobic fitness and body fatness describe minimal variability in the thermoregulatory responses to exercise after accounting for heat production and body size

2015· article· en· W1492726924 on OpenAlexaff
Matthew N. Cramer, Ollie Jay

Bibliographic record

VenueExtreme Physiology & Medicine · 2015
Typearticle
Languageen
FieldMedicine
TopicThermoregulation and physiological responses
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAerobic exerciseThermoregulationBody surface areaAnimal scienceHuman physiologySWEATMedicineBiologyInternal medicine

Abstract

fetched live from OpenAlex

Aerobic fitness (VO 2max ) and body fatness have been regularly suggested as important determinants of core temperature and sweating responses to exercise [ 3 , 5 ], but recent studies suggest that biophysical factors related to heat production (H prod ), total body mass (TBM), and body surface area (BSA), predominantly influence rectal temperature changes (ΔT re ) and sweating [ 1 , 2 , 4 ]. The present study tested the hypotheses that (i) individual variation in ΔT re , whole-body sweat loss (WBSL), and steady-state local sweat rate (LSR ss ) is determined primarily by H prod (W.kg -1 TBM), evaporation required for heat balance (E req , W), and E req (W.m -2 ), respectively, and (ii) factors related to VO 2max and body fat percentage (BF%) contribute minimally to the residual variance in these responses.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.982
Threshold uncertainty score0.668

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.058
GPT teacher head0.315
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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